Eatseasy Canteen Management Application

Introduced as a solution to the progressively increasing demands of efficiency and time-saving solutions in college canteens, “EatsEasy” is a cross-platform AI-based system aimed at canteen operations management for the students, staff, and administrators. The application will allow students to browse menus, place orders, and pay efficiently on a simple user interface, thus reducing waiting time in queues and improving the canteen operations. Offline ordering with QR codes, multiple options for payment, and meal recommendations based on what someone has in their cart will all be just-a-few clicks away. On the customer side, it also collects customer feedback to allow administrators to work on improving the quality of services and analyzing how satisfied their users are. Other functionalities include real-time sales, inventory, and profit/loss tracking done through graphical representation such as pie charts and graphs. It further facilitates cash on delivery through QR scanning payment option. “EatsEasy” is an essential modern-day adjunct able to make life easier in college, able to cut down manual paperwork and improve the overall cafeteria experience of all users. It is a special tool designed for individual or group meal planning. Key Words: AI-based system, cross-platform application, offline ordering, QR code payment, data analysis, inventory management, customer feedback, collaborative meal planning, college canteen, and cart-based meal recommendations

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-07
DOI
https://doi.org/10.55041/ijsrem44007
Primary Topic
Nutrition, Health and Food Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Eatseasy Canteen Management Application

Abin Biju P, P V Sanjay, N K Sapthasree, Sreya Rajesh et al.
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Nutrition, Health and Food Behavior
article

Eatseasy Canteen Management Application

Abin Biju P, P V Sanjay, N K Sapthasree, Sreya Rajesh, Vanimol Sajan
article en

Abstract

Introduced as a solution to the progressively increasing demands of efficiency and time-saving solutions in college canteens, “EatsEasy” is a cross-platform AI-based system aimed at canteen operations management for the students, staff, and administrators. The application will allow students to browse menus, place orders, and pay efficiently on a simple user interface, thus reducing waiting time in queues and improving the canteen operations. Offline ordering with QR codes, multiple options for payment, and meal recommendations based on what someone has in their cart will all be just-a-few clicks away. On the customer side, it also collects customer feedback to allow administrators to work on improving the quality of services and analyzing how satisfied their users are. Other functionalities include real-time sales, inventory, and profit/loss tracking done through graphical representation such as pie charts and graphs. It further facilitates cash on delivery through QR scanning payment option. “EatsEasy” is an essential modern-day adjunct able to make life easier in college, able to cut down manual paperwork and improve the overall cafeteria experience of all users. It is a special tool designed for individual or group meal planning. Key Words: AI-based system, cross-platform application, offline ordering, QR code payment, data analysis, inventory management, customer feedback, collaborative meal planning, college canteen, and cart-based meal recommendations

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Openalex Percentile: Top 92%
Nutrition, Health and Food Behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.